This report describes a contextual database of demographic, social, economic, housing, cultural, and urbanization measures for U.S. census tracts, counties, and metropolitan statistical areas for use in research.
The traditional baseball scout's keen eye is no longer deemed sufficient to rate talent, said Jeff Luhnow, general manager of the Houston Astros, at RAND's Politics Aside event. Analysts check curveball spin rates, computer-modeled swing mechanics, and even sleep habits.
The Resilience Assessment Process and Portfolio Option Reporting Tool (RAPAPORT) is a Microsoft Excel-based tool for assessing non-materiel aspects of resilience.
This report describes the use of indirect estimation methods to estimate racial/ethnic populations in health care records, which often lack such data, and the use of such methods to measure and monitor disparities in quality of care.
In applied psychology research settings, such as criminal psychology, missing data are to be expected. Missing data can cause problems with both biased estimates and lack of statistical power. The paper aims to discuss these issues.
Researchers have two main reasons for caring about non-response. First, it is important to ensure that survey findings are unbiased and representative, and second, concern about survey non-response is a key reason given by those who ignore or chose not to act on the findings of research.
Simple recommendations for statistical best practices will improve the translation of appropriate and robust research findings into healthcare policy and practice.
How can researchers and the users of survey research move from a knee-jerk dismissal of survey findings to being comfortable trusting and acting on the findings? Likely ways forward include emphasizing the methodology, triangulating the evidence, acknowledging the limitations, and developing good communication and trust between parties.
This tutorial provides an introduction to TWANG and demonstrates its use through illustrative examples. This tool includes the TWANG commands for Stata, a tutorial on their use, and the sample code and datasets used in the tutorial.
Videos with step-by-step procedures for implementing propensity score analyses involving two or more treatment groups using the TWANG (Toolkit for Weighting and Analysis of Nonequivalent Groups) data analysis package.
Sensitivity analysis lets researchers test and explore some of the assumptions that underlie their findings. These might be assumptions about a relationship, data that's been excluded, or which part of an analysis is most important.
This paper describes the application of the technique of simple "marginal analysis" to an Air Force problem and suggests that a similar application may be useful in many industrial situations.
This tutorial describes the use of the TWANG package in R to estimate propensity score weights when there are two treatment groups, and how to use TWANG to estimate nonresponse weights.
Corruption can hinder global business investment -- particularly in emerging markets -- but multinational companies often have difficulty assessing the business bribery risk in other countries. A new tool, called the TRACE Matrix, can help.
Corruption can hinder global business investment — particularly in emerging markets — but multinational companies often have difficulty assessing the business bribery risk in other countries. A new tool, called the TRACE Matrix, can help.
